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GIS-Based Studies on Urban Sprawl, Some Literature Statistics

Bibliographic Data

ID22151655
AuthorsAmina Merakchi (0009-0005-5408-1285, University of Biskra), Djamel Alkama (0000-0002-3565-6451, University of Guelma), Amel Benzaoui (0000-0002-8661-7487, Larbi Ben M'hidi University of Oum El Bouaghi)
Year2022
Volume7
Issue6
Pages216-221
Publication date2022-01-01
Open AccessNo
TypeARTICLE
VenueInternational Journal of Innovative Studies in Sociology and Humanities (JOURNAL)
Journal identifiersISSN: 2456-4931 • E-ISSN: 2456-4931
PublisherARC Publications (PUBLISHER)
DOI10.20431/2456-4931.0706020
OpenAlexW4285295430
LanguageEN
References cited10

The SCOPUS database was searched for papers published between 1997 and 2021. Using clustering techniques and loglikelihood ratios (LLR) algorithm in Cite space visualization tool, researchers were able to track the progress of urban sprawl GIS-based studies. In the period from 1997 to 2014, researchers were still investigating the subject. Throughout 2014 and the present, there has been an increase in research. Besides geographical related keywords, technical keywords have been the most frequently used in this field since 2000, according to a review of the literature. It was common to conduct research via some key words such as "Satellite"and "Spatiotemporal analysis" With a disparate fields when clustering documents

Cartography · Civil engineering · Geography · Regional science · Statistics · Urban planning · Urban sprawl · Engineering · Mathematics · Remote Sensing and Land Use

  • Land use and land cover change in Greater Dhaka, Bangladesh

    Open Access•Ashraf Dewan, Ashraf M Dewan et al.•Applied Geography•2009

  • The spatiotemporal form of urban growth

    Open Access•Martin Herold, Noah Goldstein et al.•Remote Sensing of Environment•2003

  • The dimensions of global urban expansion

    Open Access•Shlomo Angel, JASON PARENT et al.•Progress in Planning•2011

  • Land resource impact indicators of urban sprawl

    Open Access•John Hasse, John E Hasse et al.•Applied Geography•2003

  • Use of normalized difference built-up index in automatically mapping urban areas from TM imagery

    Yong Zha, Jay Gao et al.•International Journal of Remote…•2003

  • Urban sprawl measurement from remote sensing data

    Open Access•B Bhatta, Subhajit Saraswati et al.•Applied Geography•2010

  • Wrestling Sprawl to the Ground

    George Galster, ROYCE HANSON et al.•Housing Policy Debate•2001

  • Knowledge mapping of credit risk research

    Open Access•Wei Zhou, Qingjuan Chen et al.•Economic Research-Ekonomska…•2019

  • Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-five Global Cities using Remotely Sensed Data, Pattern Metrics and Census Information

    Open Access•Annemarie Schneider, Curtis E Woodcock•Urban Studies•2008

  • Environmental Impacts of Urban Sprawl

    Open Access•Michael P Johnson•Environment and Planning A…•2001

Highly citedNo

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